Leong, Alex S. and Quevedo, Daniel E. and Dey, Subhrakanti (2017) State estimation over Markovian packet dropping links in the presence of an eavesdropper. In: 2017 IEEE 56th Annual Conference on Decision and Control (CDC). IEEE, pp. 6616-6621. ISBN 9781509028733

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Abstract

Remote state estimation problems in the presence of an eavesdropper have recently been studied. In this setup, a sensor transmits over a random packet dropping link to a remote estimator, which at the same time can be randomly overheard by an eavesdropper. For i.i.d. packet dropping links to the remote estimator and to the eavesdropper, it has been shown that with unstable systems one can keep the expected estimation error covariance bounded, while the expected eavesdropper error covariance becomes unbounded in the infinite horizon. In this paper we show that the same behaviour can be achieved when transmission of local state estimates occur over a Markovian packet dropping link, and eavesdropping occurs according to another Markovian packet dropping link.

Item Type:	Book Section
Keywords:	State Estimation; Markovian Packet Dropping Links; Presence; Eavesdropper;
Academic Unit:	Faculty of Science and Engineering > Research Institutes > Hamilton Institute Faculty of Science and Engineering > Electronic Engineering
Item ID:	13430
Identification Number:	https://doi.org/10.1109/CDC.2017.8264656
Depositing User:	Subhrakanti Dey
Date Deposited:	08 Oct 2020 14:54
Publisher:	IEEE
Refereed:	Yes
URI:	Publisher
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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